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Erschienen in:
2013 | OriginalPaper | Buchkapitel
The Use of a Cloud Computing and the CUDA Architecture in Zero-Latency Data Warehouses
verfasst von : Marcin Gorawski, Damian Lis, Michal Gorawski
Erschienen in: Computer Networks
Verlag: Springer Berlin Heidelberg
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The growing importance of data warehousing [1-3] and the need to provide up-to-date information, changed procedures of data processing [4-8]. Classic data warehouses which are based on a traditional ETL process, proved to be ineffective and limited further development, due to the need of time-sharing of an access time between updates and analysis [9,10]. Introduction of the zero-latency data warehouse, solved the problem of data mining time limit, however it enforces the need to use larger computing power for processing updates and queries in the ETL process. The article presents two ETL systems for zero-latency data warehouses which implement the WINE-HYBRIS algorithm. The first ETL system processes tasks in CUDA and CPU architectures, while the second uses Cloud Computing. The purpose of the article is to describe advantages and disadvantages of each solution.